{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["purpose", "damage amount", "attacker", "place", "time", "attack pattern", "victim", "tool", "trusted entity"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of victim", "time", "place", "attacker", "purpose", "tool", "compromised data", "victim", "damage amount"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["issues addressed", "time", "vulnerable system version", "patch number", "common vulnerabilities and exposures"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["capabilities", "vulnerable system version", "time", "supported platform", "common vulnerabilities and exposures", "vulnerability", "discoverer", "vulnerable system owner", "vulnerable system"]}], "input": "\" Each year , tax - themed phishing scams crop up before tax - time in the U.S. and other countries , \" Narang added ."}
{"phishing": [{"trigger": "tax - themed phishing scams", "arguments": {"purpose": "NAN", "damage amount": "NAN", "attacker": "NAN", "place": "the U.S.", "time": "Each year", "attack pattern": "NAN", "victim": "NAN", "tool": "NAN", "trusted entity": "NAN"}}], "data breach": [], "patch vulnerability": [], "discover vulnerability": []}